Oceanographic Data Processing Program

Abstract

The purpose of the FY92/93 effort was to investigate and, where appropriate, develop and deliver software tools to improve the productivity and quality of oceanographic data interpretation. Specifically, this effort comprised three tasks: Task (1) Research and Develop Methods for Improving the Performance of Automated Outlier Detection. Based on algorithms and software developed by SRI under a previous DMA program, several enhancements were carried out. Task (2) Implement, Document, and Deliver the Improved Outlier Detection Algorithms. Additional modifications were made to support generic multibeam format (GMF) data sets. Task (3) Identify and Evaluate More Advanced Oceanographic Data Analysis Tools. A study was made to determine the data automation needs of the oceanographic community, and then compare these needs to data analysis tools already developed for other scientific application areas. Research indicated that a significant body of relevant techniques has indeed been developed for applications such as robotics, image understanding, and various statistical analysis applications.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1993
Accession Number
ADA264801

Entities

People

  • James F. Arnold
  • Scott W. Shaw

Organizations

  • SRI International

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Anomaly Detection
  • Artificial Intelligence
  • Change Detection
  • Computer Programs
  • Computer Vision
  • Data Analysis
  • Data Processing
  • Detection
  • Detectors
  • Global Positioning Systems
  • Image Processing
  • Information Science
  • Operating Systems
  • Seabed
  • Signal Processing
  • Statistical Analysis
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Oceanography.
  • Software Engineering.

Technology Areas

  • AI & ML
  • Autonomy